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dc.contributor.authorSalh, Adeb
dc.contributor.authorAudah, Lukman
dc.contributor.authorAbdullah, Qazwan
dc.contributor.authorAydoğdu, Ömer
dc.contributor.authorAlhartomi, Mohammed A.
dc.contributor.authorAlsamhi, Saeed Hamood
dc.contributor.authorAlmalki, Faris A.
dc.contributor.authorShah, Nor Shahida M.
dc.identifier.citationSalh, A., Audah, L., Abdullah, Q., Aydoğdu,Ö, Alhartomi, M.A., Alsamhi, S.H., Almalki, F.A., Shah, N.S. (2022) Low computational complexity for optimizing energy efficiency in mm-wave hybrid precoding system for 5. IEEE Access, v.10, pp. 4714-4727. doi: 10.1109/ACCESS.2021.3139338.en_US
dc.description.abstractMillimeter-wave (mm-wave) communication is the spectral frontier to meet the anticipated significant volume of high data traffic processing in next-generation systems. The primary challenges in mm-wave can be overcome by reducing complexity and power consumption by large antenna arrays for massive multiple-input multiple-output (mMIMO) systems. However, the circuit power consumption is expected to increase rapidly. The precoding in mm-wave mMIMO systems cannot be successfully achieved at baseband using digital precoders, owing to the high cost and power consumption of signal mixers and analog-to-digital converters. Nevertheless, hybrid analog–digital precoders are considered a cost-effective solution. In this work, we introduce a novel method for optimizing energy efficiency (EE) in the upper-bound multiuser (MU) - mMIMO system and the cost efficiency of quantized hybrid precoding (HP) design. We propose effective alternating minimization algorithms based on the zero gradient method to establish fully-connected structures (FCSs) and partially-connected structures (PCSs). In the alternating minimization algorithms, low complexity is proposed by enforcing an orthogonal constraint on the digital precoders to realize the joint optimization of computational complexity and communication power. Therefore, the alternating minimization algorithm enhances HP by improving the performance of the FCS through advanced phase extraction, which involves high complexity. Meanwhile, the alternating minimization algorithm develops a PCS to achieve low complexity using HP. The simulation results demonstrate that the proposed algorithm for MU - mMIMO systems improves EE. The power-saving ratio is also enhanced for PCS and FCS by 48.3% and 17.12%, respectively.en_US
dc.relation.ispartofIEEE Accessen_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.subjectenergy efficiencyen_US
dc.subjectfully connected structureen_US
dc.subjectpartially connected structureen_US
dc.titleLow computational complexity for optimizing energy efficiency in Mm-wave hybrid precoding system for 5Gen_US
dc.contributor.affiliationTechnological University of the Shannon Midlands Midwesten_US
dc.identifier.orcid 0000-0003-2857-6979en_US
dc.subject.departmentSoftware Research Institute TUS:MMen_US

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Attribution-NonCommercial-NoDerivatives 4.0 International
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 International